Cognitive Collective

Helping you find your next career in AI. Learn more about the job board on the Scale blog.

Are you a scaling AI startup? Email maxwell@scalevp.com to be added to our board.
132
companies
2,129
Jobs

Professional Services Engineer

Run:AI

Run:AI

Software Engineering, Sales & Business Development
United States
Posted on Sunday, January 7, 2024

Run:AI is bridging the gap between data science and computing infrastructure by creating a high-performance compute virtualization layer for deep learning, speeding the training of neural network models and enabling the development of large AI models. By abstracting workloads from underlying infrastructure, Run:AI creates a shared pool of resources that can be dynamically provisioned for full utilization of expensive GPU compute.

Job Description

Run:AI provides organizations with a world-class machine learning platform to improve productivity and efficiency for data scientists. Our product provides a Run:AI unique HPC scheduler, relies on Run:AI advanced GPUs virtualization technology and makes GPUs first class citizens in Kubernetes.

In this role you will be responsible for the following:

  • Work with Run:ai customers on a daily basis to guide and assist with their onboarding process for run:ai
  • Installation of Run:AI software, Including Kubernetes, NVIDIA Drivers, Docker on cloud and air-gapped environments.
  • Work with various type of Kubernetes orchestration tools and solve complex issues in container environment
  • Perform training for customers Researchers and Administrators
  • Creation and sharing of best practices, technical content (e.g. how to docs, tips and tricks)
  • Work closely with Product and Engineering teams to define Feature Requests and customers solve issues and bugs in an efficient manner

Qualifications

  • 5+ year of Experience in a customer facing role (preferably as a PS engineer)
  • BS in Engineering, Computer Engineering, Computer Science or equivalent experience
  • Experience presenting to technical audiences and creating technical content for developers
  • Hands on experience working with Kubernetes based tools
  • Experience with technologies like Docker, Containers and Kubernetes
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Knowledge of deep learning, models and frameworks such as TensorFlow, PyTorch - Advantage
  • Familiarity with the MLOPS and ML pipeline tools - advantage